Automations vs. Agents: A Practical Guide to Building Both
Building Your First AI Agent: From Template to Autonomous Workflow
Most people use AI for one-off prompts. This workshop shows you the four levels of AI automation - from simple triggers to self-running agents - and teaches you how to match the right level to your task.
We'll use discovery call follow-up as our working example, but the framework applies to any recurring work: client onboarding, weekly reporting, content research, or partnership vetting.
This workshop is for you if:
You're already using AI for basics (email rewrites, brainstorming)
You want systems that run without constant supervision
You're not sure which tasks are worth automating (or how far to take it)
What you'll learn:
The 4 levels of AI automation and when to use each
How to decide what's worth automating vs. keeping manual
How to build an AI-powered workflow that drafts personalized follow-ups based on call transcripts
What you'll leave with:
Decision framework to evaluate any recurring task
Working Level 2 automation you can deploy immediately
Clear understanding of when to graduate to Level 3 agents
About Our Speaker
Diana Olympia is a Founder and AI Automation Consultant. She spent 17 years across revenue and client-facing roles (CS, Strategy, Ops) at Hulu, Foursquare, Viacom, and A+E Networks, managing over $350M in client revenue for brands like Meta, Walmart, and American Express.
Now she translates Fortune 500 operational thinking into practical automation systems for solo operators, founders, and small businesses.
🔗 LinkedIn 🔗 AI Made Simpler
About AI Snack Club
AI Snack Club is a community where ambitious women learn AI together through bite-sized prompts and real results. Founded by Monica Abrams, we translate what's happening in the Silicon Valley bubble into actionable lessons for women outside of it. 🧃